• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.187-192
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• 2017

In dense deployments of sensor nodes in Wireless Sensor Networks, the MAC protocol has challenges to solve problems such as reducing delivery delay and reducing energy consumption. To solve these problems lots of protocols are suggested. This paper proposed a sensor nodes' residual energy based wake-up control mechanism, in which each node decides whether it wakes up or stays in sleep mode to save energy consumption by reducing unnecessary idle listening. The main idea of the wake-up control mechanism is to save node's energy consumption. The proposed wake-up control mechanism is based on the RI-MAC protocol, which is one of the receiver-initiated MAC protocols. A receiver node in the proposed mechanism periodically wakes up and broadcasts a beacon signal based on the energy status of the node. A receiver node also adjusts wake-up period based on the traffics. Results have shown that the proposed MAC protocol outperformed RI-MAC protocol in the terms of energy consumption.

• Composites Research
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• v.23 no.6
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• pp.26-31
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• 2010

This research work contributes to a study for the procedure and methodology to assess the fatigue durability for a composite torque link for helicopter landing gear, which was newly developed and fabricated by the resin transfer moulding technique to interchange with metal component. The simulated load spectrum anticipated to be applied to the torque link during its operation life was generated using an advanced method of probabilistic random process, and the fatigue durability was evaluated by the residual strength degradation approach on the basis of material test data. The full scale fatigue test was performed and compared with the analysis results.

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.261-266
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• 2005

According to development of satellite geodesy, gravity potential models which have high accuracy and resolution were released. Using the EIGEN-CG01C model based on low orbit satellite data such as CHAMP and GRACE and the EGM96 model, geoid and gravity anomaly were calculated and compared. The study area is located at $123^{\circ}{\sim}132^{\circ}$ E, $33^{\circ}{\sim}43^{\circ}$ including Korea. Comparing two models, very high correlation more than 0.90 in geoid and gravity anomaly was observed, but in amplitude analysis the EIGEN-CG01C model have higher amplitude in high frequency area. Gravity anomaly calculated with both models shows a little difference in North Korea and some coast area of the Yellow sea. Through power spectrum analysis, residual anomaly that can be used in large scale structure or underground resources survey was calculated.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8A
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• pp.815-820
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• 2008

Carrier frequency offset (CFO) is one of the most important problems in an orthogonal frequency division multiplexing (OFDM) system, which seriously degrades the performance of the systems due to its time-variant behavior. In this paper, the performance of a pilot-assisted fine CFO estimator in OFDM-based mobile WiMAX systems is analyzed. Analytical closed-form expression of the mean square error (MSE) of the post-FFT based CFO synchronization scheme is reported for time-variant fading channels. Taking into account the frame structure of the IEEE802.16e standard, simulation results are used to verify the theoretical analysis developed in this paper.

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.255-260
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• 2005

A Gravity characteristic of Svalbard archipelago in Arctic was studied by using ArcGP data. There are situated the Dasan science station. After bouguer correction, an edge effect of free-air anomaly, which is similar to topography, are not shown at passive continent margin, and after terrain correction with GTOPO30 data, gravity anomaly increases from continent to marine. that is deep connected with rise of Moho discontinuity. The correlation of topography and free-air anomaly shows that the isostasy of continent attains a little less than marine. After filtering, the residual anomaly are shown high and low anomalies related to fracture zone in continent and base depression or thick sedimentary layer in continental slope, marine.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.79-105
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• 2021

In the circumstance of standing out the climate change issue, the purpose of this study is to compare the efficiency of offshore and coastal fisheries according to whether or not greenhouse gas (GHG) emissions are considered, and then to present policy alternatives based on the analysis results. For analysis, the traditional data envelopment analysis (DEA), the slacks-based measure (SBM) and the SBM-undesirable models were used, and robust analysis of variance (ANOVA) and Wilcoxon Signed-rank tests were performed. As a result, the study showed that the average efficiency of fisheries decreased as the traditional DEA extended to the SBM model considering the slack and the SBM-undesirable model including the GHG emissions. Specifically, the average efficiency of the traditional DEA model, SBM model, and SBM-undesirable model was analyzed as 0.7350, 0.5820 and 0.4976 respectively. In addition, the results of the robust ANOVA and Wilcoxon Signed-rank tests all showed that there are statistically significant differences in efficiency between offshore and coastal fisheries as well as among traditional DEA, SBM and SBM-undesirable models. As a policy alternative to the analysis, it was suggested that to improve the efficiency of coastal and offshore fisheries, it is necessary to actively implement the new fishing vessel project and develop smart and electric hybrid fishing vessels.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.12B
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• pp.1336-1348
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• 2009

In this paper, we propose an energy-aware multi-tree video multicast scheme for wireless ad hoc networks. Some network nodes may have energy enough to receive and forward the whole video content whereas some may not. Even though the video quality may vary depending on the remaining energy, our scheme enables the low-energy nodes to join the video multicast session. The video stream is split into a set of multiple and independent descriptions by MDC (Multiple description coding) scheme. Each description corresponds to a substream and number of substreams determine the video quality. The member nodes determine how many substreams it would receive depending on the remaining energy and expected amount of packets per substream. So does the intermediate tree nodes. That builds a tree per substream and multiple trees per session. The data source disseminates each substream through corresponding tree. The video quality of the member nodes varies according to number of participating trees. We evaluate the performance of our scheme by simulation. Our scheme showed better peak signal to noise ratio and extended the lifetime of the network nodes compared with MAODV, which builds a single tree, and MT-MAODV, which builds multiple trees but does not consider the available energy.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.39-42
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• 2004

본 논문에서는, 잡음음성에 강인한 음성인식을 위한 특징추출 방법을 제시한다. 제시한 방법은 2 단계 잡음제거 과정으로 구성되어 있다. 첫번째 단계는 MMSE-STSA 음성개선기법을 통해 잡음음성신호를 개선시키는 과정이고, 두 번째 단계는, MMSE-STSA 의 개선된 음성에 후처리 가중필터뱅크분석을 통해 잔여잡음의 영향을 감소시키는 과정이다. 제안한 방법의 성능평가를 위해, AURORA2의 잡음음성 DB 중 테스트 집합 A 에 대해 인식실험을 수행하고, 결과를 기존 방법들과 비교, 검토한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.18-20
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• 2014

본 논문에서는 스크린 컨텐츠 동영상의 효율적인 압축을 위한 부호화 기법을 제안한다. 제안 부호화 기법은 RGB 색 요소 간의 신호의 통계적 중복성을 줄이기 위한 적응적 색 변환 기법에 기반한다. 기존의 색 변환 기법들은 스크린 컨텐츠 동영상이 포함하는 신호의 급격히 변화하는 ?계적 특성에 적용하기 어려운 반면 제안 방식에서는 부호화 블록의 시간적/공간적 주위 픽셀의 정보를 이용한 성분 분석을 통해 색 공간 변환 행렬식을 유도하여 부호화에 사용한다. 주위 픽셀 정보는 부호화 블록의 예측 방식에 따라 결정하며 움직임 벡터를 이용한 시간/변위 예측 부호 방식에서는 참조 블록의 정보를 이용하고 공간적 예측 방식에서는 블록의 인접 픽셀를 이용한다. 부호기 측에서는 비트율-왜곡 최적화를 통하여 예측 후 잔여신호의 부호화를 원래의 RGB 공간에서 수행할지 또는 색 변환한 공간에서 수행할지를 결정하고 관련 정보를 표시하여 블록 단위로 전송함으로써 부호화 효율을 증대한다. 실험에 의하면 제안 기법은 기존 압축 방식 대비 탁월한 부호화 성능을 제공함을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.74-77
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• 2022

최근 사물 인터넷(IoT)의 발전으로 계산 집약적이거나 지연시간에 민감한 태스크가 증가하면서, 모바일 엣지 컴퓨팅 기술이 주목받고 있지만 지상에 고정되어 있는 MEC 서버는 사용자의 요구사항 변화에 따라 서버의 위치를 변경하거나 유연하게 대처할 수 없다. 이 문제를 해결하기 위해 UAV(Unmanned Aerial Vehicle)를 추가로 이용해 엣지 서비스를 제공하는 기법이 연구되고 있다. 그러나 UAV는 지상 MEC와는 달리 배터리 용량이 제한되어 있어 태스크 마이그레이션을 통해 에너지 사용량을 최소화하는 것이 필요하다. 본 논문에서는 MEC 서버들 사이의 로드 밸런싱과 UAV MEC 서버의 에너지 효율성을 최적화하기 위해 강화학습 기법인 Q-learning을 이용한 태스크 마이그레이션 기법을 제안한다. 제안 시스템의 성능을 평가하기 위해 UAV의 개수에 따라 실험을 진행하여 잔여 에너지와 로드 밸런싱 측면에서 성능을 분석한다.